Project centers in Chennai

IEEE Final Year Project Topics for CSE

Base Paper Title

Assessment of Code Smell for Predicting ClassChange Proneness using Machine Learning

Our Title

IEEE Project Abstract

Assessment of code smell for predicting software change proneness is essential to ensure its significance in thearea of software quality. While multiple studies have been conducted in this regard, the number of systems studied and themethods used in this study are quite different. The objective of this paper is to approve the effect of code smell on the changeinclination of a specific class in a product framework. Further, the paper aims to validate Code Smell for Predicting ClassChange Proneness to find error in prediction of change proneness using code smell. Six typical machine learning algorithms(Naive Bayes Classifier, Multilayer Perceptron, LogitBoost, Bagging, Random Forest, and Decision Tree) have been used topredict change proneness using code smell from a set of 8200 Java classes spanning 14 software systems. Experimental resultssuggest that code smell is indeed a powerful predictor of class change proneness with Multilayer Perceptron being the mosteffective technique. The sensitivity and specificity values for all the models are well over 70% with a few exceptions.

Existing System

Drawback of Existing System

Proposed System

Advantage of Proposed System

Enhancement from Base Paper


Technology Used : Hardware & Software

Existing Algorithm

Proposed Algorithm

Advantages of Proposed Algorithm

Project Modules

Literature Survey


Future Work

To View the Base Paper Abstract Contents

Refer Your Friend
Refer Another Friend
Thanks for Referring Your Friend / Relation

Now it is Your Time to Shine.

Great careers Start Here.

We Guide you to Every Step

Success! You're Awesome

Thank you for filling out your information!

We’ve sent you an email with your Final Year Project PPT file download link at the email address you provided. Please enjoy, and let us know if there’s anything else we can help you with.

To know more details Call 900 31 31 555

The WISEN Team